bartowski / image-text-to-text updated 1 month ago

endless-frontier_BigBang-v1-GGUF

Model details: - Parameter count: 36B - Input support: text, image (with mmproj file) - details - MTP: yes - details - imatrix: yes - details

Params
Context
Downloads 30d
984 K
Likes
30
Commercial use: allowed apache-2.0 Not gated GGUF 1 languages View on Hugging Face ↗

Download history

daily snapshots · 13 days
986 K891 K
Sep 8Sep 12Sep 16Sep 20

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
endless-frontier_BigBang-v1-IQ2_XXS.gguf IQ2_XXS 10.3 GB 11.8 GB ✅ Runs comfortably
endless-frontier_BigBang-v1-IQ2_XS.gguf IQ2_XS 11.3 GB 12.9 GB ✅ Runs comfortably
endless-frontier_BigBang-v1-IQ2_S.gguf IQ2_S 11.5 GB 13.1 GB ✅ Runs comfortably
endless-frontier_BigBang-v1-IQ2_M.gguf IQ2_M 12.5 GB 14.3 GB ✅ Runs comfortably
endless-frontier_BigBang-v1-IQ3_XXS.gguf IQ3_XXS 15.3 GB 17.4 GB ✅ Runs comfortably
endless-frontier_BigBang-v1-IQ3_XS.gguf IQ3_XS 16.7 GB 18.9 GB ✅ Runs comfortably
endless-frontier_BigBang-v1-IQ3_M.gguf IQ3_M 17.4 GB 19.6 GB ✅ Runs comfortably
endless-frontier_BigBang-v1-IQ4_NL.gguf IQ4_NL 20.3 GB 22.9 GB ⚠️ Tight — reduce context
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Licence
apache-2.0
First seen on the Hub
2026-08-07
Training datasets
undisclosed
Added to our catalog
2026-09-08
Compare with any image-text-to-text model